In this study a new automatic and intelligent clustering approach is proposed for the manual segmentation of brain. The images that contains different tissue types depending on the brain image axial location. The success of the algorithm in determining the brain site clearly compared with the ground truth image. Therefore, the proposed ABC algorithm successfully segmented the MRI image in Modified Region Growing and Fiber, also determined the brain pixels more efficiently than the other algorithm. The execution time for finding the near-optimal number of the manual brain segment clusters calculated which was less than 1 min.
Brain MRI image
Segmented Brain Image MRG and Fiber
#Modified, #Artificial, #Processing, #Beecolony, #Fiber, #Segmentation, #Intelligent, #Multimodal, #Discontinuous, #Optimization, #Real-time, #Cloud, #Neural, #Detection, #Complex, #Dynamic, #Deviation #quantization, #Region, #Image, #Watermarking, #Clustering, #Thresholding, #Multidisciplinary, #Execution, #Pixels, #Ground, #Automatic, #Brain.
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